Summary: Join a founding AI team to turn generative AI ideas into production-ready features, architect AI-powered agents, and influence the technical direction of an AI roadmap in real estate tech. Highlights: 1. Shape the long-term technical direction of AI roadmap 2. Develop production-ready generative AI features and agents 3. Work with cutting-edge LLMs, RAG, and agentic AI ***Role Overview*** We’re building a new product in the real estate tech space and are looking for a **Senior AI Engineer** to join our founding AI team. You’ll help turn generative AI ideas into **production\-ready features**, architect and ship **AI\-powered agents**, and influence the long\-term technical direction of our AI roadmap. You’ll work closely with our existing product stack (**Ruby on Rails \+ React**) and leverage **AWS AI infrastructure** to deliver scalable, secure, high\-performing systems. ***Key Responsibilities*** AI Agent Development * Design, build, and maintain intelligent, autonomous, or conversational **AI agents** to automate workflows and improve user productivity. * Implement agentic patterns and orchestration for real\-world product use cases. AI/ML System Development (End\-to\-End) * Architect, develop, and maintain scalable **end\-to\-end AI systems** and generative AI applications using **AWS AI services** and open\-source frameworks. * Own the AI lifecycle from concept and design through deployment, monitoring, and iteration. Full\-Stack Integration * Partner with backend (**Ruby on Rails**) and frontend (**React**) engineers to integrate AI\-driven capabilities into the core product experience. * Build APIs/services that support reliable AI features and excellent UX. Data Pipeline Management * Develop and manage robust pipelines for ingestion, processing, and transformation of **real estate datasets** to support model training and inference. * Ensure data quality, lineage, and consistency across workflows. Performance Monitoring \& Optimization * Monitor and optimize deployed models, agents, and APIs for reliability, accuracy, latency, and **cost efficiency**. * Establish best practices for observability and performance tracking. Collaboration \& Technical Leadership * Collaborate closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices. * Contribute to coding standards, mentor peers, and help shape the long\-term AI technical roadmap. Innovation \& Applied Research * Evaluate and apply new technologies in **LLMs**, **Retrieval\-Augmented Generation (RAG)**, and **agentic AI** to solve complex problems. ***Qualifications (Required)*** * Bachelor’s or advanced degree in **Computer Science, Data Science**, or a related field. * **5\+ years** of experience in AI/ML or software engineering roles with exposure to **production\-grade AI systems**. * Proficiency in **Python** and familiarity with frameworks such as **PyTorch, TensorFlow, or LangChain** (or equivalents). * Hands\-on experience deploying AI models/services in a cloud environment (**AWS preferred**). * Strong understanding of **data structures, algorithms, and distributed systems design**. * Solid grasp of **LLMs, Generative AI, and RAG** methodologies. * Excellent collaboration skills and a track record of delivering results in cross\-functional teams. ***Preferred (Nice to Have)*** * Experience integrating AI into web applications built on **Ruby on Rails** and **React**. * Familiarity with **vector databases** and embeddings (e.g., **Pinecone, FAISS, Weaviate**). * Exposure to **MLOps tools and best practices** (e.g., **SageMaker, MLflow**, CI/CD, model monitoring). * Interest in real estate or property technology (PropTech) applications.
Valentina Rodríguez
Indeed · HR
Valentina Rodríguez
Indeed · HR
